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NECO
2002
104views more  NECO 2002»
13 years 7 months ago
An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models
A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
Harri Valpola, Juha Karhunen
EELC
2006
128views Languages» more  EELC 2006»
13 years 11 months ago
Evolving Distributed Representations for Language with Self-Organizing Maps
We present a neural-competitive learning model of language evolution in which several symbol sequences compete to signify a given propositional meaning. Both symbol sequences and p...
Simon D. Levy, Simon Kirby
BMCBI
2005
113views more  BMCBI 2005»
13 years 7 months ago
PentaPlot: A software tool for the illustration of genome mosaicism
Background: Dekapentagonal maps depict the phylogenetic relationships of five genomes in a visually appealing diagram and can be viewed as an alternative to a single evolutionary ...
Lutz Hamel, Olga Zhaxybayeva, J. Peter Gogarten
VLSISP
2002
114views more  VLSISP 2002»
13 years 7 months ago
Image processing using cellular neural networks based on multi-valued and universal binary neurons
Multi-valued and universal binary neurons (MVN and UBN) are the neural processing elements with the complex-valued weights and high functionality. It is possible to implement an a...
Igor N. Aizenberg, Constantine Butakoff
MSV
2007
13 years 9 months ago
FMC-QE: A New Approach in Quantitative Modeling
Abstract—Service requests are the origin of every service provisioning process and therefore the entities to be considered first. Similar to Physics and Engineering Sciences, ser...
Werner Zorn